class_docstr: Res-Net network structure
class_docstr_tok: ["Res-Net","network","structure"]
code: def forward(self, x):
      x = self.conv0_1(x)
      x = self.bn0_1(x)
      x = self.relu(x)
      x = self.conv0_2(x)
      x = self.bn0_2(x)
      x = self.relu(x)
  
      x = self.maxpool1(x)
      x = self.layer1(x)
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
  
      x = self.maxpool2(x)
      x = self.layer2(x)
      x = self.conv2(x)
      x = self.bn2(x)
      x = self.relu(x)
  
      x = self.maxpool3(x)
      x = self.layer3(x)
      x = self.conv3(x)
      x = self.bn3(x)
      x = self.relu(x)
  
      x = self.layer4(x)
      x = self.conv4_1(x)
      x = self.bn4_1(x)
      x = self.relu(x)
      x = self.conv4_2(x)
      x = self.bn4_2(x)
      x = self.relu(x)
      return x
  
file_path: PaddleOCR/ppocr/modeling/backbones/rec_resnet_32.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle.nn
label_desc: Use image node_id 3 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: x